Standard
The analysis of abnormal behavior of the system local segment on the basis of statistical data obtained from the network infrastructure monitoring. / Lebedev, Ilya; Krivtsova, Irina; Korzhuk, Viktoria; Bazhayev, Nurzhan; Sukhoparov, Mikhail; Pecherkin, Sergey; Salakhutdinova, Kseniya.
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, Proceedings. ed. / Olga Galinina; Yevgeni Koucheryavy; Sergey Balandin. Springer Nature, 2016. p. 503-511 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9870 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Lebedev, I, Krivtsova, I, Korzhuk, V, Bazhayev, N, Sukhoparov, M, Pecherkin, S & Salakhutdinova, K 2016,
The analysis of abnormal behavior of the system local segment on the basis of statistical data obtained from the network infrastructure monitoring. in O Galinina, Y Koucheryavy & S Balandin (eds),
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9870 LNCS, Springer Nature, pp. 503-511, 16th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2016 and 9th conference on Internet of Things and Smart Spaces, ruSMART 2016, St. Petersburg, Russian Federation,
26/09/16.
https://doi.org/10.1007/978-3-319-46301-8_42
APA
Lebedev, I., Krivtsova, I., Korzhuk, V., Bazhayev, N., Sukhoparov, M., Pecherkin, S., & Salakhutdinova, K. (2016).
The analysis of abnormal behavior of the system local segment on the basis of statistical data obtained from the network infrastructure monitoring. In O. Galinina, Y. Koucheryavy, & S. Balandin (Eds.),
Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, Proceedings (pp. 503-511). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9870 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-319-46301-8_42
Vancouver
Lebedev I, Krivtsova I, Korzhuk V, Bazhayev N, Sukhoparov M, Pecherkin S et al.
The analysis of abnormal behavior of the system local segment on the basis of statistical data obtained from the network infrastructure monitoring. In Galinina O, Koucheryavy Y, Balandin S, editors, Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, Proceedings. Springer Nature. 2016. p. 503-511. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-319-46301-8_42
Author
Lebedev, Ilya ; Krivtsova, Irina ; Korzhuk, Viktoria ; Bazhayev, Nurzhan ; Sukhoparov, Mikhail ; Pecherkin, Sergey ; Salakhutdinova, Kseniya. /
The analysis of abnormal behavior of the system local segment on the basis of statistical data obtained from the network infrastructure monitoring. Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, Proceedings. editor / Olga Galinina ; Yevgeni Koucheryavy ; Sergey Balandin. Springer Nature, 2016. pp. 503-511 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{07530401ff3b475791c5d1c14a9800b0,
title = "The analysis of abnormal behavior of the system local segment on the basis of statistical data obtained from the network infrastructure monitoring",
abstract = "The wireless network of low-power devices of Smart home and Internet of Things is considered. The signs of unauthorized access are defined. The analysis of the characteristics of systems based on wireless technologies obtained from the experiment results of passive monitoring and active polling of device forming the network infrastructure is conducted. The state-analyzing model based on the identity, quantity, frequency and temporal characteristics is presented. Evaluation of the information security state is focused on analyzing of the system normal functioning profile excluding the search of signatures and characteristics of anomalies under different kinds of attacks. The accumulation of data for decision-making is carried out by comparison of the statistical information of service message from the terminal nodes in passive and active modes. The proposed model can be used to determine the technical characteristics of the devices of wireless ad-hoc networks and to make recommendations concerning the information security state analysis.",
keywords = "Availability of devices, Information security, The model of information security, Vulnerability, Wireless networks of soft spaces",
author = "Ilya Lebedev and Irina Krivtsova and Viktoria Korzhuk and Nurzhan Bazhayev and Mikhail Sukhoparov and Sergey Pecherkin and Kseniya Salakhutdinova",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-3-319-46301-8_42",
language = "English",
isbn = "9783319463001",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "503--511",
editor = "Olga Galinina and Yevgeni Koucheryavy and Sergey Balandin",
booktitle = "Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, Proceedings",
address = "Germany",
note = "16th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2016 and 9th conference on Internet of Things and Smart Spaces, ruSMART 2016 ; Conference date: 26-09-2016 Through 28-09-2016",
}
RIS
TY - GEN
T1 - The analysis of abnormal behavior of the system local segment on the basis of statistical data obtained from the network infrastructure monitoring
AU - Lebedev, Ilya
AU - Krivtsova, Irina
AU - Korzhuk, Viktoria
AU - Bazhayev, Nurzhan
AU - Sukhoparov, Mikhail
AU - Pecherkin, Sergey
AU - Salakhutdinova, Kseniya
PY - 2016/1/1
Y1 - 2016/1/1
N2 - The wireless network of low-power devices of Smart home and Internet of Things is considered. The signs of unauthorized access are defined. The analysis of the characteristics of systems based on wireless technologies obtained from the experiment results of passive monitoring and active polling of device forming the network infrastructure is conducted. The state-analyzing model based on the identity, quantity, frequency and temporal characteristics is presented. Evaluation of the information security state is focused on analyzing of the system normal functioning profile excluding the search of signatures and characteristics of anomalies under different kinds of attacks. The accumulation of data for decision-making is carried out by comparison of the statistical information of service message from the terminal nodes in passive and active modes. The proposed model can be used to determine the technical characteristics of the devices of wireless ad-hoc networks and to make recommendations concerning the information security state analysis.
AB - The wireless network of low-power devices of Smart home and Internet of Things is considered. The signs of unauthorized access are defined. The analysis of the characteristics of systems based on wireless technologies obtained from the experiment results of passive monitoring and active polling of device forming the network infrastructure is conducted. The state-analyzing model based on the identity, quantity, frequency and temporal characteristics is presented. Evaluation of the information security state is focused on analyzing of the system normal functioning profile excluding the search of signatures and characteristics of anomalies under different kinds of attacks. The accumulation of data for decision-making is carried out by comparison of the statistical information of service message from the terminal nodes in passive and active modes. The proposed model can be used to determine the technical characteristics of the devices of wireless ad-hoc networks and to make recommendations concerning the information security state analysis.
KW - Availability of devices
KW - Information security
KW - The model of information security
KW - Vulnerability
KW - Wireless networks of soft spaces
UR - http://www.scopus.com/inward/record.url?scp=84989932577&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-46301-8_42
DO - 10.1007/978-3-319-46301-8_42
M3 - Conference contribution
AN - SCOPUS:84989932577
SN - 9783319463001
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 503
EP - 511
BT - Internet of Things, Smart Spaces, and Next Generation Networks and Systems - 16th International Conference, NEW2AN 2016 and 9th Conference, ruSMART 2016, Proceedings
A2 - Galinina, Olga
A2 - Koucheryavy, Yevgeni
A2 - Balandin, Sergey
PB - Springer Nature
T2 - 16th International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2016 and 9th conference on Internet of Things and Smart Spaces, ruSMART 2016
Y2 - 26 September 2016 through 28 September 2016
ER -
